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Pairing emergency severity index5-level triage data with computer aided system design to improve emergency department access and throughput

机译:将紧急情况严重程度索引5级分类数据与计算机辅助系统设计配对,以改善紧急情况部门的访问和吞吐量

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摘要

Patient waiting times and service quality problems characterize emergency departments worldwide. The purpose of this research is to develop a reliable decision support system using the emergency severity index (ESI/sup /spl copy//) triage method to drive improvements in the care delivery process, as part of a hospital emergency care delivery system. Models were developed using first a relatively low fidelity software, process model, and then in Arena, a relatively high fidelity simulation software, to test new proposals for service delivery improvements in an academic ED in York Hospital, Pennsylvania, where the ESI/sup /spl copy// triage system has been implemented. We pair the case mix derived from ESI/sup /spl copy// triage with simulation to support resource deployment to improve service metrics and support strategic decision making in academic EDs. The lessons learned could be re-analyzed in a simulation model more representative of a nonacademic (regular hospital) ED that implements ESI/sup /spl copy// five level triage.
机译:患者的等待时间和服务质量问题是全球急诊部门的特征。这项研究的目的是开发一种可靠的决策支持系统,该系统采用紧急严重性指数(ESI / sup / spl copy //)分诊方法来推动护理交付流程的改进,作为医院紧急护理交付系统的一部分。首先使用相对较低保真度的软件,过程模型开发模型,然后在相对较高保真度的仿真软件Arena中开发模型,以在宾夕法尼亚州约克医院的学术ED中测试改进服务交付的新建议,其中ESI / sup / SPL复制//分类系统已实施。我们将源自ESI / sup / spl copy //分流的案例组合与模拟相结合,以支持资源部署以改善服务指标并支持学术ED中的战略决策。可以在模拟模型中重新分析学到的教训,该模型更能代表实施ESI / sup / spl复制//五级分类的非学术(正规医院)急诊科。

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